基于定量递归分析的校园网流量特性分析

摘要

Chaos theory,as an important branch of non-linear theory, has been increasingly applied to network traffic analysis. On the basis of phase space reconstruction, recurrence plot ( RP) and recurrence quantification analysis ( RQA) are used to analyse chaos characteristics of campus network traffic qualitatively and quantitatively. With the sliding window concept applied, the detection method for anomaly traffic based on chaos eigenvalue is presented.%混沌理论作为非线性理论的一个重要分支,越来越多的应用到网络流量分析中.在相空间重构的基础上,通过递归图(RP)和定量递归分析(RQA),定性和定量分析某校园网络流量的混沌特性,然后借鉴滑动窗口的概念,提出了基于混沌特征值的异常流量检测方法.